1536 Open source projects that are alternatives of or similar to Self Attention Cv

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

The Abstraction and Reasoning Corpus

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

A fast SAT solver

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT & OpenVINO). Multi-OS (NVIDIA Jetson, Android, Raspberry Pi, Linux, Windows) and Multi-Arch (ARM, x86).

Be Driven 🚘

Infrastructures™ for Machine Learning Training/Inference in Production.

Image quality is an open source software library for Image Quality Assessment (IQA).

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Chinese Poetry Generation

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

A tool that can transform CommonJS to ESM

Avalanche: a End-to-End Library for Continual Learning.

machine learning

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Build and train state-of-the-art natural language processing models using BERT

Notebook for my medium article about how to use Dataset API in TensorFlow

Machine learning, in numpy

fuzzylite: a fuzzy logic control library in C++

Image Captions Generation with Spatial and Channel-wise Attention

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Research on Texas Hold'em AI

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Minimax is a AI algorithm.

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Learning to create Machine Learning Algorithms

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Transformation functions generator for Protocol Buffers.

Code for Java Deep Learning Cookbook

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

AI 算法岗简历模板

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Telenav.AI competition public repository

The Automagic Project Planner

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the paper "Analyzing Source and Target Contributions to NMT Predictions".

Stochastic Delta Rule implemented in Pytorch on DenseNet

Important paper implementations for Question Answering using PyTorch

Season 2 of @twosigma's artificial intelligence programming challenge

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Sparse and structured neural attention mechanisms

Transformer-based image captioning extension for pytorch/fairseq

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.

Understanding the Difficulty of Training Transformers

ncnn is a high-performance neural network inference framework optimized for the mobile platform

The "Python Machine Learning (1st edition)" book code repository and info resource

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.